Exchange Education Platform — 4.2M Users Activated
4.2M users, 15.7% deposit conversion
Users Activated via KuCoin Learn
4.2M
Conceived, designed & launched
15.7%
Deposit conversion rate
Spot Trading Volume Increase Q1→Q2
121%
SEO, gamification & learn-to-earn
8%
YoY traffic increase on coin pages
Spot Trading Volume — Q1 to Q2 (+121%)
AI Operational Savings
$15K/mo
LLM localization pipeline — pre-ChatGPT era
16 languages
LLM Localization Pipeline
Learn → Deposit → Trade Funnel
01
KuCoin Learn
Gamified education
4.2M users
02
Deposit
Learn-to-earn conversion
15.7%
03
Coin Pages
SEO-optimized entry
+8% YoY
04
Spot Trading
Volume driven by content
+121%
Overview
KuCoin is a top-5 global cryptocurrency exchange. I designed and launched a full Learn platform to onboard new users via educational content, embedded modules, and chain-integrated lessons. The flow introduced 4.2M+ users to KuCoin's products and token ecosystem, with a 15.7% conversion rate from learning to first deposit.
The core thesis: don't just teach users — route them into product.
KuCoin Learn
Education Platform — Conceived, Designed, Launched. KuCoin Learn was an education platform with learn-to-earn incentives — built to onboard users into the KuCoin product ecosystem via structured lessons and earn mechanics. The platform activated 4.2M+ users and drove a 15.7% deposit conversion rate.
LLM Localization Pipeline. One of the earliest production AI integrations at a major crypto exchange. Built a pipeline to localize content across 16 languages using LLMs — saving ~$15K/month in external localization costs and dramatically expanding content reach. Content ideation and composition workflows were rebuilt around AI-assisted production.
SEO-Optimized Content Stack. Coin pages and Learn articles were rewritten for long-tail search. Internal systems handled keyword clustering, canonical flow, and CTA injection — boosting indexed visibility and increasing time-on-site.
Trading Bot Relaunch
Full GTM for Bot Relaunch. The KuCoin Trading Bot was reintroduced via dedicated landing assets, Learn module cross-links, and contextual KOL content. Traffic was routed based on user behavior.
Volume Conversion Impact. Bot-related content flows contributed to a 12.1% lift in spot trading volume. Learn-to-Bot traffic conversion averaged 15.7% deposit rate vs. 12.2% baseline. 2.2M+ users activated through Learn + Bot touchpoints.
AI-Powered Ops & Internalization
AI Optimization. Built AI-powered content operations that saved an estimated $15K/month — automating workflows that had previously required external vendors and manual processes. This covered content production, localization pipelines, and SEO execution at scale.
Content Ops Brought In-House. SEO and content execution previously handled by third-party vendors were brought in-house using internal playbooks, templates, and QA loops augmented by AI tooling.
Visibility Through Structured Indexing. The internal SEO system supported sustainable growth via indexed content and search-aligned funnel logic. Organic entry paths showed consistent lift across key segments without reliance on paid traffic.
Infrastructure Built
Learn + Bot Product Pairing — Funnel architecture connecting new users (via education) directly into trading product engagement.
AI Content Ops — AI-powered production pipeline saving ~$15K/month across content, localization, and SEO execution.
SEO Engine — Internal keyword mapping, canonical flow tracking, and CTA injection tooling.
Internal Ops Templates — Playbooks for scalable content, in-house QA, and decentralized team deployment.
Agency stack cost: ~$78K/month. Internal ops: $0 fixed, only sweat + infra + salary.
